Instructions to use LLMMINE/MTIPA-7B-PositionTask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LLMMINE/MTIPA-7B-PositionTask with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "LLMMINE/MTIPA-7B-PositionTask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c04edd7113bee1d8b6e95a8dac1207c70531a0ef61b82232f200ba4452bb0c6e
- Size of remote file:
- 323 MB
- SHA256:
- 25937a804767bedcf9f431d40ae45f54092b94a83edaf7b02425c9ab2b578b30
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